Patents by Inventor Thomas L. Griffiths

Thomas L. Griffiths has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11727717
    Abstract: When one looks at a face, one cannot help but ‘read’ it: in the blink of an eye, people form reliable impressions of both transient psychological states (e.g., happiness) and stable character traits (e.g., trustworthiness). Such impressions are irresistible, formed with high levels of consensus, and important for social decisions. Disclosed herein is a large-scale data-driven methodology that allows for the easy manipulation of social trait information in hyper-realistic face images. For example, a given face image could be made to look more or less trustworthy by moving a simple slider. Further, this method can not only generate faces, but can ‘read’ faces as well, providing confidence estimates of different social traits for any arbitrary image. The disclosed approach is both fast and accurate, and represents a paradigm shift in facial photo manipulation.
    Type: Grant
    Filed: January 4, 2022
    Date of Patent: August 15, 2023
    Assignees: THE TRUSTEES OF PRINCETON UNIVERSITY, THE TRUSTEES OF THE STEVENS INSTITUTE OF TECHNOLOGY
    Inventors: Alexander T. Todorov, Stefan D. Uddenberg, Joshua C. Peterson, Thomas L. Griffiths, Jordan W. Suchow
  • Publication number: 20220122378
    Abstract: When one looks at a face, one cannot help but ‘read’ it: in the blink of an eye, people form reliable impressions of both transient psychological states (e.g., happiness) and stable character traits (e.g., trustworthiness). Such impressions are irresistible, formed with high levels of consensus, and important for social decisions. Disclosed herein is a large-scale data-driven methodology that allows for the easy manipulation of social trait information in hyper-realistic face images. For example, a given face image could be made to look more or less trustworthy by moving a simple slider. Further, this method can not only generate faces, but can ‘read’ faces as well, providing confidence estimates of different social traits for any arbitrary image. The disclosed approach is both fast and accurate, and represents a paradigm shift in facial photo manipulation.
    Type: Application
    Filed: January 4, 2022
    Publication date: April 21, 2022
    Applicants: THE TRUSTEES OF PRINCETON UNIVERSITY, THE TRUSTEES OF THE STEVENS INSTITUTE OF TECHNOLOGY
    Inventors: Alexander T. Todorov, Stefan D. Uddenberg, Joshua C. Peterson, Thomas L. Griffiths, Jordan W. Suchow
  • Patent number: 11250245
    Abstract: When one looks at a face, one cannot help but ‘read’ it: in the blink of an eye, people form reliable impressions of both transient psychological states (e.g., happiness) and stable character traits (e.g., trustworthiness). Such impressions are irresistible, formed with high levels of consensus, and important for social decisions. Disclosed herein is a large-scale data-driven methodology that allows for the easy manipulation of social trait information in hyper-realistic face images. For example, a given face image could be made to look more or less trustworthy by moving a simple slider. Further, this method can not only generate faces, but can ‘read’ faces as well, providing confidence estimates of different social traits for any arbitrary image. The disclosed approach is both fast and accurate, and represents a paradigm shift in facial photo manipulation.
    Type: Grant
    Filed: September 21, 2020
    Date of Patent: February 15, 2022
    Assignees: THE TRUSTEES OF PRINCEONT UNIVERSITY, THE TRUSTEES OF THE STEVENS INSTITUTE OF TECHNOLOGY
    Inventors: Alexander T. Todorov, Stefan D. Uddenberg, Joshua C. Peterson, Thomas L. Griffiths, Jordan W. Suchow
  • Publication number: 20210089759
    Abstract: When one looks at a face, one cannot help but ‘read’ it: in the blink of an eye, people form reliable impressions of both transient psychological states (e.g., happiness) and stable character traits (e.g., trustworthiness). Such impressions are irresistible, formed with high levels of consensus, and important for social decisions. Disclosed herein is a large-scale data-driven methodology that allows for the easy manipulation of social trait information in hyper-realistic face images. For example, a given face image could be made to look more or less trustworthy by moving a simple slider. Further, this method can not only generate faces, but can ‘read’ faces as well, providing confidence estimates of different social traits for any arbitrary image. The disclosed approach is both fast and accurate, and represents a paradigm shift in facial photo manipulation.
    Type: Application
    Filed: September 21, 2020
    Publication date: March 25, 2021
    Applicant: THE TRUSTEES OF PRINCETON UNIVERSITY
    Inventors: Alexander T. Todorov, Stefan D. Uddenberg, Joshua C. Peterson, Thomas L. Griffiths, Jordan W. Suchow